News

SIGEVO is a special interest group of ACM who is always looking for new ways to improve research and learning on genetic and evolutionary calculations.
In this search for the spread of knowledge and experience in this area, a summer school around GECCO 2017 in Berlin was organized for the first time this year: S3 (Sigevo Summer School).

At this year's Genetic and Evolutionary Computation Conference (GECCO) in Berlin, our research group was again represented with a large delegation of experienced and young researchers.

Besides the EvoSoft workshop hosted by Stefan Wagner and Michael Affenzeller, we are especially pleased that our researcher Viktoria Hauder has reached Best Paper 3rd place at the Student Workshop. (in the picture with Vanessa Volz and Boris Naujoks​) Congratulations!

Michael Affenzeller was invited to hold a session about "Integrated Modeling and Optimization in Industry 4.0" - a part of the Industry 4.0 at International Level workshop.

Industry 4.0 is the current Paradigm of Automation and Data Exchange in manufacturing leading to Smart Manufacturing; the idea is to combine concepts such as Cyber-Physical Systems, the Internet of Things, Cloud Computing, Modeling and Simulation, Augment & Virtual Reality, Artificial Intelligence and Intelligent Agents to create a common intuitive framework to control the Industrial Processes

Modeling and Simulation use the computers to recreate real systems on computers and to experiment them within such virtual environment; this allow to conduct experiments and tests even before a new industrial system is realized and to conduct Virtual Prototyping as well as to develop Training Equipment and decision Support Systems (DSS)

Based on a history of automating design calculations, simulation support, and applying artificial intelligence and optimization in engineering domains, design automation (DA) provides methods and tools for exploring solution spaces and generating designs at different levels of detail.

Optimization problems are often an inherent part of DA approaches and solutions since the complexity of products often yields optimization tasks which exceed the human capacity to solve them manually. In order to support the striving to fully explore the design envelope before making decisions with a high impact on committed costs, a wide range of industries has thus adopted optimization problems within engineering DA. Exemplary application areas include the validation and improvement of structural aspects and the appropriate selection, dimensioning and assembling of components to fulfil customer-specific needs. Beyond, also optimization methods to guide solution finding related to tasks with large and unstructured solution spaces have received increased attention.

This symposium aims at bringing together practitioners and scientists from academia, research institutes and industry to discuss about practical and scientific problems and solution strategies in the context of engineering design automation and optimization.